Highly parallel volumetric imaging with a 32-element RF coil array
| Autor: | Charles A. McKenzie, Charles L. Dumoulin, Daniel K. Sodickson, Hubert Lejay, Michael A. Ohliger, Randy Otto John Giaquinto, Yudong Zhu, Gontran Kenwood, Thoralf Niendorf, Neil M. Rofsky, Christopher J. Hardy |
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| Rok vydání: | 2004 |
| Předmět: |
Volumetric imaging
Offset (computer science) medicine.diagnostic_test Radio Waves business.industry Computer science Acoustics Magnetic resonance imaging Equipment Design Image Enhancement Magnetic Resonance Imaging Article Data acquisition medicine Humans Radiology Nuclear Medicine and imaging Computer vision Artificial intelligence Parallel imaging business Radiofrequency coil Radio wave High acceleration |
| Zdroj: | Magnetic Resonance in Medicine. 52:869-877 |
| ISSN: | 1522-2594 0740-3194 |
| DOI: | 10.1002/mrm.20209 |
| Popis: | The improvement of MRI speed with parallel acquisition is ultimately an SNR-limited process. To offset acquisition- and reconstruction-related SNR losses, practical parallel imaging at high accelerations should include the use of a many-element array with a high intrinsic signal-to-noise ratio (SNR) and spatial-encoding capability, and an advantageous imaging paradigm. We present a 32-element receive-coil array and a volumetric paradigm that address the SNR challenge at high accelerations by maximally exploiting multidimensional acceleration in conjunction with noise averaging. Geometric details beyond an initial design concept for the array were determined with the guidance of simulations. Imaging with the support of 32-channel data acquisition systems produced in vivo results with up to 16-fold acceleration, including images from rapid abdominal and MRA studies. |
| Databáze: | OpenAIRE |
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